Combining facility layout redesign and dynamic routing for job-shop assembly operations

Lihui Wang
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引用次数: 4

Abstract

This paper presents a hybrid approach for facility layout redesign and dynamic job routing. More specifically, based on the source of uncertainty, the facility layout problem is split into two sub-problems and dealt with by two modules: re-layoutand find-route. Genetic algorithm is used where changes may cause a layout redesign of the entire shop, while function blocks are utilised to find the best sequence of robots for the new conditions within the existing layout. The method is verified in a case study of a hypothetic robotic assembly shop.
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结合车间装配作业的设施布局设计和动态路线设计
提出了一种设施布局重新设计与动态作业调度的混合方法。具体地说,根据不确定性的来源,将设施布局问题分解为两个子问题,分别用重新布局和寻路两个模块来处理。遗传算法用于可能导致整个车间布局重新设计的变化,而功能块用于在现有布局中找到适合新条件的最佳机器人序列。最后以一个机器人装配车间为例,对该方法进行了验证。
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